TSSUNet-MB – ab initio identification of σ70 promoter transcription start sites in Escherichia coli using deep multitask learning-Reference-Cited by-同舟云学术

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TSSUNet-MB – ab initio identification of σ70 promoter transcription start sites in Escherichia coli using deep multitask learning

Published:2023-08 Issue: Volume:105 Page:107904
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Ni Chung-En^ORCID,Doan Duy-Phuong,Chiu Yen-Jung,Huang Yen-Hua

Funder

Yen Tjing Ling Medical Foundation

Taiwan Ministry of Science and Technology

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference27 articles.

1. iPromoter-BnCNN: a novel branched CNN-based predictor for identifying and classifying sigma promoters;Amin;Bioinformatics,2020

2. Sequence-dependent bending propensity of DNA as revealed by DNase I: parameters for trinucleotides;Brukner;EMBO J.,1995

3. Benchmarking bacterial promoter prediction tools: potentialities and limitations;Cassiano;mSystems,2020

4. Determining promoter location based on DNA structure first-principles calculations;Goni;Genome Biol.,2007

5. Multiple sigma subunits and the partitioning of bacterial transcription space;Gruber;Annu Rev. Microbiol,2003

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